Title :
A semi-autonomous decentralized system for controlling street traffic signals
Author :
Findler, Nicholas V. ; Surender, Sudeep ; Catrava, Serban
Author_Institution :
Dept. of Comput. Sci., Arizona State Univ., Tempe, AZ, USA
Abstract :
Our work is based on distributed and knowledge-based methodology for real-time control of street and highway ramp signals. After a running prototype system that proved the feasibility of the approach, we have now completed the first part of a complex, two-phase learning program of the traffic control regime. It produces optimum local (intersection) control of signals in steady-state traffic scenarios. With appropriate communication between adjacent intersections, we should obtain an optimum, global, reactive and predictive control regime of the semi-autonomous, decentralized system
Keywords :
decentralised control; intelligent control; knowledge based systems; learning (artificial intelligence); predictive control; road traffic; signalling; traffic control; distributed methodology; highway ramp signals; knowledge-based methodology; optimum local control; predictive control; prototype system; reactive control; real-time control; semi-autonomous decentralized system; steady-state traffic; street traffic signal control; two-phase learning program; Artificial intelligence; Communication system control; Communication system traffic control; Computer science; Control systems; Laboratories; Predictive control; Prototypes; Road transportation; Steady-state; Timing; Traffic control;
Conference_Titel :
Autonomous Decentralized Systems, 1995. Proceedings. ISADS 95., Second International Symposium on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-8186-7087-8
DOI :
10.1109/ISADS.1995.398996
